Optimal Deep Learning-Based Recognition Model for EEG Enabled Brain-Computer Interfaces Using Motor-Imagery

Optimal Deep Learning-Based Recognition Model for EEG Enabled Brain-Computer Interfaces Using Motor-Imagery

Brain-Computer Interfaces (BCIs) facilitate the translation of brain activity into actionable commands and act as a crucial link between the human brain and the external environment. Electroencephalography (EEG)-based BCIs, which focus on motor imagery, have emerged as an important area of study in...

Full description

Bibliographic Details
Main Authors: Rajalakshmi S., AlMohimeed Ibrahim, Sikkandar Mohamed Yacin, Sabarunisha Begum S.
Format: Article
Language:English
Published: Sciendo 2023-12-01
Series:Measurement Science Review
Subjects:
deep learning (dl)
brain-computer interface (bci)
eeg motor imagery (mi)
classification
dragonfly algorithm
feature extraction
Online Access:https://doi.org/10.2478/msr-2023-0031

Internet

https://doi.org/10.2478/msr-2023-0031

Similar Items